code: def is_none(value):
      if value is None:
          return True
      if type(value) is float and math.isnan(value):
          return True
      if type(value) is str and value.lower() == "nan":
          return True
      if type(value) is str and value.lower() == "none":
          return True
      return False
  
file_path: llama-vid/llamavid/eval/model_vqa_mmbench.py
imports: import argparse
  import torch
  import os
  import json
  import pandas
  from tqdm import tqdm
  import shortuuid
  from llamavid.constants import IMAGE_TOKEN_INDEX, DEFAULT_IMAGE_TOKEN, DEFAULT_IM_START_TOKEN, DEFAULT_IM_END_TOKEN
  from llamavid.conversation import conv_templates, SeparatorStyle
  from llamavid.model.builder import load_pretrained_model
  from llava.utils import disable_torch_init
  from llava.mm_utils import tokenizer_image_token, process_images, load_image_from_base64, get_model_name_from_path
  import math
label_desc: Use image node_id 3 for calling a global function with example usage: is_none(value) and returns: False, True, True, True, True